Data Engineer

Deqode; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Deqode seeks an Analytical Engineer in Hyderabad (India) to translate business requirements into analytics-ready datasets with emphasis on data profiling, validation, and trusted data delivery for reporting and analytics.

The role requires hands-on experience with Data Vault 2.0, dimensional modeling, and advanced SQL within enterprise data environments; Azure/Databricks exposure is preferred, and stakeholder engagement is key.

Qualifications

• Translate business requirements into analytics-ready datasets with strong data profiling and validation.
• Experience with Data Vault 2.0 and dimensional modeling for enterprise data environments.
• Advanced SQL skills for transformation, analysis, and reporting.
• Strong stakeholder engagement bridging business and data requirements.

Responsibilities

• Profile data and validate quality across analytics datasets.
• Deliver trusted data for reporting and analytics platforms.
• Collaborate with business and technical teams to refine data models and requirements.

Skills

Data Analysis

Data Governance

Data Engineering

SQL

Dimensional Modeling

Tools

Databricks

Azure

Data Modeling Tool

Job description

Description

Analytical Engineer with strong Data Analyst and Data Modelling expertise required to translate business requirements into structured, analytics-ready datasets. Must have experience in Data Vault 2.0 / dimensional modelling and advanced SQL for data transformation and analysis. Role focuses on data profiling, validation, and delivery of trusted data for reporting and analytics. Experience with Azure/Databricks and enterprise data environments preferred. Strong stakeholder engagement and ability to bridge business and technical data requirements essential.

Must Have Skills

• Data Analysis
• Data Governance
• Data Modeling tool

Nice To Have Skills

• Business writing skills
• Governance, Risk and Controls
• Principles of project management
• Relevant regulatory knowledge
• Relevant software and systems knowledge

Skills:- Data engineering, Windows Azure, databricks, Data modeling, Dimensional modeling and SQL